import pymysql
import pandas as pd
import numpy as np

class MysqlUtils(object):
    def __init__(self):
        self.conn = pymysql.connect(
            host='127.0.0.1',
            user='root',
            passwd='sjk1234',  # 替换为新密码
            db='sys',
            port=3306,
            charset='utf8'
        )

    def get_scenic_data(self):
        """获取数据"""
        cursor = self.conn.cursor(cursor=pymysql.cursors.DictCursor)
        sql = """
        SELECT t.tourist_agency_name, rel.id_no, LEFT(rel.id_no, 2) as province_code,
        DAYOFWEEK(gate.create_time) as non_weekend,
        CAST(SUBSTRING(rel.id_no, 7, 4) AS UNSIGNED) as birth_year
        FROM ticket_order_user_rel rel
        LEFT JOIN ticket_order t ON t.id = rel.order_id
        LEFT JOIN order_user_gate_rel gate ON gate.ticket_rel_id = rel.id
        WHERE t.pay_time != '' AND t.tourist_agency_name != ''
        """
        cursor.execute(sql)
        ret = cursor.fetchall()

        df = pd.DataFrame(ret)
        print(df.head())

        # 数据清洗
        df['non_weekend'] = df['non_weekend'].apply(lambda x: 1 if x not in [1, 7] else 0)
        # 新增有效标记列
        df['valid_id'] = df['id_no'].apply(lambda x: 1 if x and str(x).split() != '' else 0)

        df['out_province_ratio'] = df.apply(
            lambda x: 1 if x['valid_id'] and x['province_code'] != 44 else 0 if x['valid_id'] else np.nan,
            axis=1
        )

        df['elderly_ratio'] = df.apply(
            lambda x: 1 if x['valid_id'] and 2025 - x['birth_year'] >= 60 else 0 if x['valid_id'] else np.nan,
            axis=1
        )

        # 分组聚合计算占比
        result = df.groupby(['tourist_agency_name']).agg(
            total_visitors=('id_no', 'count'),  # 总游客数
            valid_visitors=('valid_id', 'sum'),  # 有效身份证游客数
            out_province=('out_province_ratio', 'sum'),  # 外省人数（有效id_no）
            elderly=('elderly_ratio', 'sum'),  # 老年人人数
            non_weekend=('non_weekend', 'mean'),  # 非周末占比
        ).reset_index()
        # 计算实际比例
        result['out_province_ratio'] = result['out_province'] / result['valid_visitors'].replace(0, np.nan)
        result['elderly_ratio'] = result['elderly'] / result['valid_visitors'].replace(0, np.nan)

        # 清除中间列
        result = result.drop(['out_province', 'elderly'], axis=1)
        result['out_province_ratio'] = result['out_province_ratio'].fillna(0)
        result['elderly_ratio'] = result['elderly_ratio'].fillna(0)
        result.to_csv('scenic_data.csv')

if __name__ == '__main__':
    mu = MysqlUtils()
    mu.get_scenic_data()